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News
October 8, 2026
HSE Experts Take Part in 23rd Annual Meeting of Valdai Discussion Club
The 23rd Annual Meeting of the Valdai Discussion Club was held from September 28 to October 1, 2026 under the theme ‘Responsibility for the Future: Limits of the Possible, or Limitless Possibilities?’ The forum brought together 120 experts from 40 countries, including representatives of China, the United States, India, Brazil, the United Kingdom, Germany, Egypt, Iran, and Japan.
October 7, 2026
‘Our Team Consists of True Leaders in Their Respective Academic Disciplines
The HSE International Centre of Decision Choice and Analysis studies a wide range of methods for analysing decision-making and possible scenarios for the development of natural, socio-economic, and political phenomena using various mathematical models. The application of advanced mathematical methods to forecasting helps to prevent negative outcomes and avoid erroneous decisions. The HSE News Service spoke to the centre’s director, Prof. Fuad Aleskerov, about its work.
October 6, 2026
International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod Brings Together Scientists from Russia and Serbia
The International N5 Symposium ‘Neural Networks and Nonlinearity in Nizhny Novgorod’ was held at the Nizhny Novgorod House of Scientists from September 23 to 26. The event was organised by HSE University–Nizhny Novgorod and the Nizhny Novgorod House of Scientists, with the participation of Sberbank and the Institute of Physics Belgrade. The symposium was held for the second time: the first conference took place in 2025 and attracted considerable interest from the academic community.

 

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Complexity-based Modeling of Scientific Capital: an Outline of Mathematical Theory

International Journal of Mathematics and Mathematical Sciences. 2014. Vol. 2014. No. ID 785058.
Natalia A. Shmatko, Katchanov Y. L.

The paper intends to contribute to a better understanding of the phenomenon of scientific capital. Scientific capital is a well-known concept for measuring and assessing the accumulated recognition and the specific scientific power. The concept of scientific capital developed by Pierre Bourdieu is used in international social science research to explain a set of scholarly properties and practices. Mathematical modeling is applied as a lens through which to address the scientific capital. The principal contribution of this paper is an axiomatic characterization of scientific capital in terms of natural axioms. The application of the axiomatic method to scientific capital reveals novel insights into problem still not covered by mathematical modeling. Proposed model embraces the interrelations between separate sociological variables, providing a unified sociological view of science. Suggested micro variational principle is based upon postulate, which affirms that (under suitable conditions) the observed state of the agent in a scientific field maximizes scientific capital. Its value can be roughly imagined as a volume of social differences. According the considered macro variational principle, the actual state of a scientific field makes so-called energy functional (which is associated with the distribution of scientific capital) minimal.

Research target: Mathematics Sociology (including Demography and Anthropology
Priority areas: sociology mathematics
Language: English
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Keywords: социология наукиsociology of scienceнаучный капиталmathematical modeling математичеcкое моделиpованиеScientific capitalсовременная социологическая теорияvariational principle
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Monitoring survey of Highly Qualified R&D Personnel (2014)
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